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From "Apache Spark (JIRA)" <>
Subject [jira] [Commented] (SPARK-8471) Implement Discrete Cosine Transform feature transformer
Date Tue, 30 Jun 2015 22:31:04 GMT


Apache Spark commented on SPARK-8471:

User 'feynmanliang' has created a pull request for this issue:

> Implement Discrete Cosine Transform feature transformer
> -------------------------------------------------------
>                 Key: SPARK-8471
>                 URL:
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Feynman Liang
>            Assignee: Feynman Liang
>            Priority: Minor
>             Fix For: 1.5.0
> Discrete cosine transform (DCT) is an invertible matrix transformation commonly used
to analyze signals (e.g. audio, images, video) in the frequency domain. In contrast to the
FFT, the DCT maps real vectors to real vectors. The DCT is oftentimes used to provide an alternative
feature representation (e.g. spectrogram representations of audio and video) useful for classification
and frequency-domain analysis.
> Ideally, an implementation of the DCT should allow both forward and inverse transforms.
It should also work for any numeric datatype and both 1D and 2D data.

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